Searching Images to Find Information
This event took place on Friday 12 June 2009 at 11:30
Dr. R. Manmatha Dept. of Computer Science, University of Massachusetts Amherst
Image search has a large variety of potential applications. The obvious one is of course searching images given a text query. I discuss research into how this may be done using statistical models (relevance models) to automatically annotate and retrieve images. The same techniques may also be applied to retrieve scanned historical handwritten documents and I will show an example using George Washington's documents. I will then discuss how new techniques for image search may be applied to searching printed documents in languages where good optical character recognizers do not exist. Finally, I will briefly discuss a commercial mobile image search application on the iphone which allows one to take a picture of a book, DVD, CD or videogame cover and get back information such as price, reviews and so on.
Collaborators include Shaolei Feng, C. V. Jawahar, Jiwoon Jeon,
Anand Kumar. Victor Lavrenko and Toni Rath.
This event took place on Friday 12 June 2009 at 11:30
Image search has a large variety of potential applications. The obvious one is of course searching images given a text query. I discuss research into how this may be done using statistical models (relevance models) to automatically annotate and retrieve images. The same techniques may also be applied to retrieve scanned historical handwritten documents and I will show an example using George Washington's documents. I will then discuss how new techniques for image search may be applied to searching printed documents in languages where good optical character recognizers do not exist. Finally, I will briefly discuss a commercial mobile image search application on the iphone which allows one to take a picture of a book, DVD, CD or videogame cover and get back information such as price, reviews and so on.
Collaborators include Shaolei Feng, C. V. Jawahar, Jiwoon Jeon,
Anand Kumar. Victor Lavrenko and Toni Rath.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
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